» Articles » PMID: 21842424

On a New Perspective of the Basic Reproduction Number in Heterogeneous Environments

Overview
Journal J Math Biol
Date 2011 Aug 16
PMID 21842424
Citations 19
Authors
Affiliations
Soon will be listed here.
Abstract

Although its usefulness and possibility of the well-known definition of the basic reproduction number R0 for structured populations by Diekmann, Heesterbeek and Metz (J Math Biol 28:365-382, 1990) (the DHM definition) have been widely recognized mainly in the context of epidemic models, originally it deals with population dynamics in a constant environment, so it cannot be applied to formulate the threshold principle for population growth in time-heterogeneous environments. Since the mid-1990s, several authors proposed some ideas to extend the definition of R0 to the case of a periodic environment. In particular, the definition of R0 in a periodic environment by Bacaër and Guernaoui (J Math Biol 53:421-436, 2006) (the BG definition) is most important, because their definition of periodic R0 can be interpreted as the asymptotic per generation growth rate, which is an essential feature of the DHM definition. In this paper, we introduce a new definition of R0 based on the generation evolution operator (GEO), which has intuitively clear biological meaning and can be applied to structured populations in any heterogeneous environment. Using the generation evolution operator, we show that the DHM definition and the BG definition completely allow the generational interpretation and, in those two cases, the spectral radius of GEO equals the spectral radius of the next generation operator, so it gives the basic reproduction number. Hence the new definition is an extension of the DHM definition and the BG definition. Finally we prove a weak sign relation that if the average Malthusian parameter exists, it is nonnegative when R0>1 and it is nonpositive when R0<1.

Citing Articles

Evaluating a novel reproduction number estimation method: a comparative analysis.

Anazawa K Sci Rep. 2025; 15(1):5423.

PMID: 39948149 PMC: 11825847. DOI: 10.1038/s41598-025-89203-w.


Predicting epidemics and the impact of interventions in heterogeneous settings: standard SEIR models are too pessimistic.

Coffeng L, de Vlas S J R Stat Soc Ser A Stat Soc. 2024; 185(Suppl 1):S28-S35.

PMID: 38812905 PMC: 7616000. DOI: 10.1111/rssa.12854.


Linking within- and between-host scales for understanding the evolutionary dynamics of quantitative antimicrobial resistance.

Mann-Manyombe M, Mendy A, Seydi O, Djidjou-Demasse R J Math Biol. 2023; 87(6):78.

PMID: 37889337 PMC: 10611892. DOI: 10.1007/s00285-023-02008-1.


An epi-evolutionary model for predicting the adaptation of spore-producing pathogens to quantitative resistance in heterogeneous environments.

Fabre F, Burie J, Ducrot A, Lion S, Richard Q, Djidjou-Demasse R Evol Appl. 2022; 15(1):95-110.

PMID: 35126650 PMC: 8792485. DOI: 10.1111/eva.13328.


The role of memory in non-genetic inheritance and its impact on cancer treatment resistance.

Cassidy T, Nichol D, Robertson-Tessi M, Craig M, Anderson A PLoS Comput Biol. 2021; 17(8):e1009348.

PMID: 34460809 PMC: 8432806. DOI: 10.1371/journal.pcbi.1009348.


References
1.
Nishiura H, Inaba H . Emergence of the concept of the basic reproduction number from mathematical demography. J Theor Biol. 2006; 244(2):357-64. DOI: 10.1016/j.jtbi.2006.08.004. View

2.
Inaba H, Nishiura H . The state-reproduction number for a multistate class age structured epidemic system and its application to the asymptomatic transmission model. Math Biosci. 2008; 216(1):77-89. DOI: 10.1016/j.mbs.2008.08.005. View

3.
Diekmann O, Heesterbeek J, Metz J . On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations. J Math Biol. 1990; 28(4):365-82. DOI: 10.1007/BF00178324. View

4.
Bacaer N, Ait Dads E . Genealogy with seasonality, the basic reproduction number, and the influenza pandemic. J Math Biol. 2010; 62(5):741-62. DOI: 10.1007/s00285-010-0354-8. View

5.
Diekmann O, Heesterbeek J, Roberts M . The construction of next-generation matrices for compartmental epidemic models. J R Soc Interface. 2009; 7(47):873-85. PMC: 2871801. DOI: 10.1098/rsif.2009.0386. View